A finished app can still be a complete business failure. Shipping is not proof that anyone needs what you made. Monthly subscription app releases have grown from roughly 2,000 to almost 15,000 in four years, yet apps released before 2020 still generate 69% of subscription revenue (RevenueCat, 2026).
The numbers show why creation speed alone is not an advantage. Vibe coding can get an app out quickly without any builder, but the flood of new releases has not redistributed revenue away from established winners. What moves us forward is a repeatable way to build, launch, measure, and learn across more hypotheses without lowering the quality of the experiment. Increasing both the pace of production and the volume of properly tested ideas helps viable concepts surface sooner and shortens the path to product-market fit.
TL;DR
In this article, we show how our MVP builder and testing system helped us find PMF for multiple products in the microlearning niche, build an expanding portfolio of subscription apps, and go from zero to $1M in monthly ad spend within the first six months.
Inside:
- How Talaboos runs an app portfolio
- The system behind every new app
- How product owners and engineers work differently
- From shared core to AI-powered launches
- Why the builder is only 20% of the answer
A system for getting more product ideas to real users
“I used to work in a team that built products for clients, and we had cases where a client would come to us with a budget and a brief. We would build the whole product, only to discover at the end that nobody had thought seriously about research, demand, or marketing. Clients often assumed that making a good product would be enough for users to find it and fall in love with it on their own.”
— Maksim, Project Manager at Talaboos
Being brutally honest about the market today, putting the whole company behind one idea is a risk many teams can no longer afford. We built Talaboos around a constant search for viable product concepts across the microlearning market. An app portfolio spreads risk across multiple ideas and turns each launch into a chance to learn. We wanted each new product to take far less time and engineering effort than the first. That was the goal behind the MVP builder.
“Our main difference is speed and the fact that we are not tied to one product. The foundation is shared: billing, authorization, emails, analytics, and the admin panel are already built and reused. We do not have to rebuild the engine every time.”
— Dmitry, Product Owner at Talaboos
To get ideas in front of real users faster, we made the MVP builder the starting point for every new product. Each one then follows the same launch process:
- A new product is set up on the shared core.
- The funnel starts from a reusable template and is adapted with the product's offer and content.
- Web payment flows and billing are set up through a defined process designed to keep payments reliable and meet our risk-management requirements.
- Analytics and attribution come preconfigured, so every product is measured consistently and can be compared across the portfolio.
- Finally, the full setup is tested end to end.
The shared backend core instead of forks, a reusable funnel template, a standardized webhook setup, a common analytics SDK, and automated domain and environment setup make it possible to complete this process in less than a week.
“Just to be clear, we do not really build MVPs in the ‘barely works’ sense. We build a first release that delivers value and meets the quality baseline needed for real users.”
— Vladislav, Full Stack Developer at Talaboos
The baseline is practical and deliberately narrow. We postpone only the work that does not compromise the test or the user's trust.
“We cut what does not affect the hypothesis test: content depth, UI polish, rare edge cases or features that can wait. We never cut what touches money or trust: billing and subscription accuracy, security and authentication, payment webhook handling, and basic analytics. A broken payment flow or lost data makes a fast launch meaningless; an unpolished screen does not.”
— Sergey, Full Stack Developer at Talaboos
What changes for product and engineering
The builder gives product owners more control over the journey from research to a real market test. Their role starts with understanding a product direction, defining the hypothesis and scope, and deciding what the first version needs to prove. Instead of writing a specification so engineers can rebuild the recurring foundation, they can use the builder to turn those decisions into a first version ready for paid traffic.
“At Talaboos, a product owner works across a wide range of hypotheses instead of living inside a single roadmap. You stay close to traffic and funnels, and see how ideas perform at different stages. That is what makes the role interesting: you can explore more concepts instead of spending the whole day writing a specification for one feature.”
— Maksim, Project Manager at Talaboos
“You have to be willing to walk away from product ideas you brought to life when the data shows they are not working, read traffic data quickly, apply what you learn from one product to another, think about economics from day one, work closely with growth, and explore several product directions at once. Ultimately, it means falling less in love with any single idea and more in love with the process.”
— Dmitry, Product Owner at Talaboos
For engineers, the focus shifts from setting up every new product to building and maintaining the system behind them. They are responsible for the shared core, architecture, infrastructure, reliable production environments, and the custom product mechanics that actually require engineering.
“When every product stops being a separate world, there is far less context switching. With a shared core, developers work in a familiar stack most of the time. That helps prevent burnout by reducing routine work and leaving more time for genuinely new and interesting challenges.”
— Sergey, Full Stack Developer at Talaboos
From copy-paste to a product operating system
The builder did not appear fully formed. Its first version was closer to templates and copy-paste: clone the previous project, remove what does not belong, and replace it with the new content and configuration.
Next, we replaced copied code with a shared core. Billing, user access, content delivery, and analytics became shared modules, while each product still keeps its own configuration and the custom layer that makes it different.
After this approach helped several products reach PMF and scale, we decided to develop the system behind it further. Right now we are moving from one shared platform to Kubernetes-based isolation. Each product is getting its own frontend, backend, database, and separate dev, staging, and production environments, while still being created from the same standard template. A product that starts scaling no longer competes for the same resources as active experiments.
“There is still one dashboard for every product's settings and content, but each product runs in its own environment. That gives us one place to manage the portfolio while making it safer to roll out, test, and scale individual products without affecting the others. The goal is to make a new launch closer to ‘configure’ than ‘build’: an AI agent deploys a template into an isolated environment, and the team manages it from one place.”
— Sergey, Full Stack Developer at Talaboos
We are not at that endpoint yet. Today, research and the results of live tests of creatives and web funnels ultimately shape the products we build. We are developing the builder around that reality, so it can do more of the product setup itself and turn those inputs into a traffic-ready MVP.
“At the current stage, the builder already helps us manage projects centrally. The next step is to take its AI capabilities much further: describe what you need and get a complete product already connected to our infrastructure and running in production.”
— Vladislav, Full Stack Developer at Talaboos
The builder evolves through close collaboration between experienced engineers and the growth team. What we learn from real users and real traffic shapes both the products we test and the system that supports them.
The MVP builder is only 20% of the answer
“The MVP builder is only 20% of the answer. It gives us a volume advantage: while another team might validate 10 hypotheses, we can validate 100. But it does not turn any of them into a profitable product or guarantee a result.”
— Maksim, Project Manager at Talaboos
“If the ideas are weak, you simply fail faster and cheaper. The builder makes launching easier; keeping subscribers is still a content and product problem.”
— Dmitry, Product Owner at Talaboos
A viable concept receives more resources and moves forward. One that does not meet the bar is stopped rather than kept alive by the team's attachment to it. This is where the builder and testing system need each other. The exact thresholds deserve a separate article; the point here is that decisions come from a defined process, not vibe testing.
The app market never stands still. User expectations change, and the builder has to evolve with them.
“I think we will always have to keep improving the builder. As AI capabilities grow, so will what users expect. Younger generations have grown up with good apps and polished experiences. AI will shape the market, but so will the generation becoming its core consumers.”
— Maksim, Project Manager at Talaboos
Key takeaways
- An app portfolio reaches its full potential when each new hypothesis costs meaningfully less to bring to market than the one before it.
- An MVP should limit scope, not trust. Payments, user access, analytics, data, and the first product experience have to work from day one.
- The real speed metric is how many serious hypotheses can reach the market and teach you something, not how many apps you release.
- A builder changes the work itself. Product owners can turn research into traffic-ready first releases, while engineers turn repeated work into a reliable platform.
- Reuse needs boundaries. Shared templates and core mechanics can coexist with isolated environments for individual products.
- AI can expand the system, but research, user acquisition, pricing, retention, and rising user expectations still determine success.
Within our first six months, this system helped us find PMF for several products in microlearning, build a growing portfolio of subscription apps, and go from zero to $1M in monthly ad spend. That is what turning an app portfolio into a system means for us: every launch can teach the next one, while the foundation gets stronger with each new product.
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